Comprehensive technical documentation of Stage 4 of the 11-Stage AI Visibility Lifecycle. Covers how AI systems evaluate internal coherence and self-consistency of digital entities through content and infrastructure consistency checks. Details error rate stability, cache consistency, origin health metrics, signal redundancy validation, and the coherence conditions that determine whether AI systems proceed with external cross-correlation. Part of the AI Visibility Architecture (AIVA) framework documentation.
Bernard Lynch (2026) studied this question.